351 to 375 of 414 Data Pipeline Jobs in the UK excluding London

pipelines, RAG architectures, sovereign AI platforms, and modern AI infrastructure. The AI Business Development Manager will be responsible for creating demand, generating qualified pipeline, and accelerating AI-related business growth across EMEA/LATAM. This is a highly strategic business development role focused on identifying opportunities, engaging customers … partners, and converting AI interest into measurable pipeline and bookings. Success is measured by pipeline creation, opportunity progression, and revenue impact. Key Responsibilities: Drive AI Pipeline & GrowthLead AI pipeline generation across EMEA/LATAM, creating qualified opportunities and driving business growth. Identify, prioritize, and engage target ...

Senior Analytics Engineer London (Hybrid) | Up to £80,000 A fantastic opportunity to join a growing digital business where data plays a key role in driving commercial and product decisions. This position offers end-to-end ownership across analytics, engineering, and BI within a modern cloud environment. … Company A fast-scaling, customer-focused organisation investing heavily in its data platform. You'll join a collaborative team with plenty of opportunity to influence data strategy and deliver real business impact. The Role Build and maintain end-to-end data pipelines Develop scalable ...

Chemical Biology Resources team provides world-leading chemogenomics resources to the scientific community. ChEMBL is a database of quantitative small-molecule bioactivity data curated primarily from the scientific literature widely used to support drug discovery projects in industry and academia. SureChEMBL is a complementary patent resource containing chemical … chemical structures. The EBI is part of the European Molecular Biology Laboratory (EMBL) and it is a world-leading bioinformatics centre providing biological data to the scientific community with expertise in data storage, analysis and representation. EMBL-EBI provides freely available data from life ...

senior executives with experience leading multi-billion-dollar global businesses and overseeing $1bn-scale industrial operations, the company brings together complex internal business data and external market intelligence to create a real-time digital representation of an organisation. By combining data, AI and commercial expertise … year as they scale their forward deployed teams. The Role Palantir Foundry experience is one of the most sought-after skill sets in data and AI engineering today, and roles that let you build it from the ground up are genuinely hard to come by. This ...

Operations Analyst who is passionate about our mission of Money Without Borders. You will partner with our Payment Operations organisation to help drive data-driven decisions that would evaluate the current risks the organisation faces, interpret risk appetite and monitor and control for these risks. The Payment Operations … thresholds that support the organisations risk appetite and build control assurance models around our risky payment processing flows. You will also own the data behind the reconciliation of bank balances and customer funds to ensure that there are no material financial discrepancies. You will own the relationship with ...

compliant and aligned to Responsible AI principles. Shape technical direction, standards and best practice for AI engineering across the Group. Work with architecture, data, technology and business teams to identify and prioritise AI opportunities. Define the right build, buy and partner approach for AI solutions and services. Provide … Generative AI solutions in production environments. Work with modern AI frameworks, LLMs, RAG, prompt engineering and vector databases. Ensure robust MLOps practices, APIs, data pipelines and modern software engineering disciplines are in place. Strategic & Stakeholder Engagement Act as a thought leader, willing to challenge the business and drive ...

PermanentSurrey, UKPosted 3 weeks ago11884SR 60k – 80k per yearSenior Data Platform Engineer – RemoteOur client is looking for an experienced Senior Data/Platform Engineer to join their Data & Analytics team. This is not a traditional Azure Data Engineering role. They're looking … someone with genuine, hands-on experience building and managing data platforms, with a strong focus on cloud infrastructure, automation, security and reliability. You'll be working across: Databricks & Azure SynapseAzure platform engineering – ADLS, Key Vault, networking, RBAC & private endpointsInfrastructure as Code – Pulumi, Terraform or BicepCI/CD – GitHub ...

transformation programmes. This is a high-profile, business-critical programme focused on modernising a complex technology estate and bringing together historically fragmented systems, data and processes into a modern, cloud-native digital ecosystem. The ambition is significant: transform customer experiences, simplify complex processes and deliver substantial efficiencies across … cross-functional technology team and take end-to-end architectural ownership across multiple engineering workstreams. Working closely with Engineering Managers, Java Engineers, Product, Data and Security, youll turn complex business requirements into clear, scalable technical solutions and ensure architectural decisions translate into successful delivery. Youll operate across cloud ...

hiring an AI Engineer to design and build the embedded software, data pipelines and machine learning systems behind our sensing and communications technology. You will take ideas from a clean sheet through to efficient, tested code running in live deployments. Because of the nature of our work … subsystems. Implement and optimize communication protocols. Build automated CI/CD pipelines for machine learning, manage model versioning, and monitor live models for data drift and performance degradation. Develop generative AI and large language model (LLM) systems, including retrieval augmented generation (RAG) and fine-tuning. Build scalable ...

exciting early stage of growth. The role Our client is hiring an AI Engineer to design and build the embedded software, data pipelines and machine learning systems behind their sensing and communications technology. You will take ideas from a clean sheet through to efficient, tested code running … subsystems. Implement and optimise communication protocols. Build automated CI/CD pipelines for machine learning, manage model versioning, and monitor live models for data drift and performance degradation. Develop generative AI and large language model (LLM) systems, including retrieval-augmented generation (RAG) and fine-tuning. Build scalable ...

optimise Large Language Model (LLM) applications. Create AI-powered copilots, chatbots, knowledge management solutions, and workflow automation tools. Build and maintain scalable data pipelines to support AI initiatives. Implement Retrieval-Augmented Generation (RAG) frameworks and vector databases. Integrate AI technologies into existing business systems, applications, and processes. Evaluate … emerging AI technologies and recommend solutions that deliver measurable business benefits. Monitor and improve model performance, accuracy, reliability, and security. Collaborate with data engineers, software developers, and business stakeholders to gather requirements and deliver solutions. Establish AI governance, best practices, and responsible AI standards. Provide technical guidance ...

global technology business operating at significant scale, processing billions of transactions and interactions each year. The business is continuing to invest heavily in Data Science, Machine Learning, and automation, with a particular focus on building intelligent products that improve operational efficiency and customer outcomes. Their teams combine strong … solutions used worldwide. The Role Build and deploy production machine learning models that support large-scale automation and decision-making Design and optimise data pipelines, backend services, and ML infrastructure Develop and maintain feature stores and model-serving capabilities for real-time and batch use cases Take ownership ...

learning solutions, including generative AI, LLM-based applications and intelligent automation Build and integrate AI capabilities into existing platforms, products and workflows Develop data pipelines and prepare data for model training, evaluation and inference Evaluate, fine-tune and optimise models for performance, cost and reliability Work … line with the client or agency's recruitment policy. Apply now to bring your AI engineering expertise to high-impact client solutions. Skills: data azure AI MLOps TLNT1 ...

Azure Data Engineer - 1/2 days onsite 18 month FTC Summary: Join a team building a modern Azure-based data platform. This hands-on engineering role involves designing and developing scalable, automated data pipelines using tools like Data Factory, Databricks, Synapse … Logic Apps. You'll work across the full data lifecycle - from ingestion to transformation and delivery - enabling smarter, faster click apply for full job details ...

Working alongside specialist engineering, research and technical teams, you will design and develop data solutions that support analysis, testing and informed decision-making, which will be critical to secure, national securtiy infrastructures. This role offers the opportunity to work with large and complex datasets, develop scalable data pipelines and contribute to projects supporting critical technologies and infrastructure. Key Responsibilities Design, develop and maintain end-to-end data pipelines to support the processing and analysis of complex datasets. Transform and manage data to produce meaningful insights that support technical investigations and decision ...

integration, this is an excellent opportunity to take ownership of technical solutions, influence architectural decisions and contribute to the development of cutting-edge, data-driven products. Salary/Benefits Competitive salary, dependent on experience Company pension Equity opportunity Opportunity to work with emerging AI technologies Collaborative, innovative working … site working About your next employer Our client is an ambitious, technology-led business developing advanced software platforms that combine cloud engineering, data analytics and artificial intelligence to deliver innovative digital solutions. With a collaborative, multidisciplinary team and a strong focus on product development, the company offers ...

build critical backend security guardrails across the organisation. Key Responsibilities AI Guardrails & Governance: Design and implement backend security guardrail capabilities to sanitize sensitive data (PII and MNPI) and prevent prompt injection risks in production LLM workflows. GenAI Workflows & Scalable Solutions: Build and deploy enterprise-level GenAI …/UX & Frontend Integration: Design and implement user interfaces and frontends for AI guardrail requirements (~20-25% of the role). Cloud Infrastructure & Data Pipelines: Build with AWS and Azure services to construct ETL workflows and dynamic systems using orchestration platforms like Apache Airflow. Production Operations: Support production ...

work authorisation required About the Company Our client is a well-established global technology consultancy with a fast-growing AI and Data practice, delivering production AI for some of the world's largest organisations across manufacturing, financial services, healthcare, retail and the public sector. With deep partnerships with … plugs directly into the SAP, Oracle and cloud platforms that global clients rely on every day. Working in a cross-functional pod alongside data engineers, cloud architects and SAP consultants, you will take GenAI and ML solutions from proof of value to production, build RAG and agentic workflows ...

infrastructure across cloud and on-premise environments. Develop scalable architectures for AI workloads, including model hosting, vector databases, orchestration layers, APIs, and data pipelines. Integrate AI platforms with business-critical systems, data platforms, collaboration tools, and operational applications. Produce and maintain architecture documentation, operational procedures … optimise AI solution performance, reliability, security, and cost efficiency. Governance & Compliance Ensure AI solutions align with security, governance, and compliance requirements. Support data governance, privacy, risk management, and lifecycle policies for AI-enabled systems. Maintain standards and documentation relating to AI usage, access control, and governance frameworks. Contribute ...

Applied AI Engineer Up to £100,000 This is an exciting opportunity to join a growing technology consultancy at the forefront of AI, Data and Cloud transformation, helping enterprise clients solve complex business challenges through innovative AI-driven solutions. You will play a key role in designing, building … opportunity to work with cutting-edge technologies including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, MLOps and cloud-native data platforms helping clients move beyond proof-of-concept and into real-world AI adoption. This position would suit someone who combines strong software engineering ...

Senior Applied AI Engineer - UK (Remote) - GenAI, LLMs, RAG & Data Engineering - Up to £105,000 I'm working with a growing technology consultancy that's making significant investment in AI and looking to hire a Senior Applied AI Engineer to help build innovative, real-world AI solutions … trusted by end users. You'll join a collaborative team of engineers, architects and AI specialists, helping organisations unlock the potential of their data through modern AI technologies. You'll have the opportunity to work across a range of enterprise AI initiatives, helping clients turn emerging AI capabilities ...

United Kingdom, London, London Staff Software Engineer - Machine Learning About this role We're on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across … MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery Build and maintain strong relationships with key stakeholders, including senior ...

customer-first products and services. Software Engineers may support teams across backend engineering, frontend engineering, cloud engineering, mobile, AI/machine learning, data-oriented engineering, infrastructure-adjacent engineering, or full-stack product development. You will design, code, test, improve, and support applications and services that help customers, colleagues … deliver value. Work across different parts of the technology stack, such as APIs, services, microservices, user interfaces, mobile experiences, cloud platforms, or data-driven solutions. Explore responsible use of AI-powered developer tools, machine learning concepts, and intelligent automation relevant to your team's work. Participate in graduate ...

Title: Data Analysis Specialist Location: Chertsey, UK (Onsite) Contract Type: 12-Month Contract (with potential extension) About the Role: We are seeking a detail-oriented Data Analysis Specialist to support data analytics initiatives, run reporting workflows, and deliver actionable insights to senior management. … will work closely with the core analytics team to gather requirements, build data pipelines, and analyze datasets from key enterprise systems. Key Responsibilities: Support analytics task-streams and ensure successful delivery of reporting initiatives. Gather requirements and assist in designing data pipelines for extraction, transformation ...

building, and operating production-grade ML systems from the ground up. Responsibilities include: Building and owning end-to-end machine learning solutions, from data ingestion through to deployment and monitoring Developing scalable data pipelines that process large volumes of real-time and batch data … environments Working with Databricks, AWS, Python, Kafka, and modern MLOps tooling Leveraging machine learning, LLMs, and multimodal AI techniques across structured and unstructured data sources Collaborating with engineering, product, and business stakeholders to deliver impactful solutions Contributing to system architecture, platform design, and technical best practices Driving measurable ...